Back to Jobs
InsideHigherEd

Research Fellow in Empirical Law and Finance - Stanford Law School at InsideHigherEd

InsideHigherEd Palo Alto, CA

Job Description

Research Fellow in Empirical Law and Finance - Stanford Law School🔍School of Law, Stanford, California, United StatesNew📁Academic📅12 hours ago Post Date📅107912 Requisition #*NOTE: This position has been deemed critical/has specific funding, has been approved by the Law School for posting, and is exempt from the hiring freeze.Research Fellow in Empirical Law and Finance (Fixed-term)Commitment:Full-time, starting Summer 2026. Some applicants available to start earlier will also be considered. Fellowships last for one year, with the opportunity to renew for a second year based on performance and mutual agreement of the professor and fellow.Description:Robert Bartlett, the W.A. Franke Professor of Law and Business at Stanford Law School and Professor Finance (by courtesy) at the Stanford Graduate School of Business, is recruiting a full-time research fellow to work on a set of projects related to venture capital finance, corporate governance, securities regulation and disclosure, and/or equity market structure. The fellowship is aimed at individuals who have recently completed, or will soon complete, their undergraduate or master’s degree and are considering pursuing a graduate program (Ph.D. / JD) in the near future. The research fellow will be part of a vibrant community of scholars at Stanford Law School, which includes over a dozen predocs working with other members of the Stanford Law community. This is a minimum one-year position, with the option of renewal based on performance and mutual agreement. The position will commence in the Summer of 2026, and the fellow will be expected to be physically present in and working from Stanford Law School during the term of the fellowship.Duties include:Plan and perform research tasks requiring initiative and judgment by applying basic knowledge and understanding of empirical methodologies and models. General instructions provided by the faculty supervisor as needed. May interpret research results in collaboration with supervisor or PI.Conceptualizing suitable empirical methodologies and modelsCollecting, managing, and structuring quantitative datasetsConducting statistical analyses of complex datasets and interpreting resultsReport writing and manuscript preparationParticipate and assist with planning empirical projects.Implement regression and other statistical models using Stata, R, SAS or similar statistical programming languages.Participate in the development and administration of surveys using validated variables and questions.Conduct targeted search on recent scholarship about particular research as assigned.Potential communication with high-level officials, industry stakeholders, and research collaboratorsAssist with development, communication and design of research findings to internal and external audiences in the form of report writing and manuscript preparationMay formulate nationwide randomized controlled trials, and create novel datasets on research related to policy issuesIdentify, select, extract and summarize data and structured information. Present summary of findings to faculty supervisorEnsure compliance with research protocolsMinimum Requirements:Bachelor’s degree in a relevant quantitative field (E.g., economics, finance, business, data science, statistics, or a related field). General understanding of theories and methods typically gained through completion of undergraduate degree in a related field.Effective oral and written communication skillsOutstanding academic credentials and intellectual creativityEagerness to take initiative and solve intricate problemsExperience with statistical analysesAbility to work under deadlines with general guidance.Excellent organizational skills and demonstrated ability to complete detailed work accurately.Excellent time-management skills and ability to work effectively with minimal supervisionExceptional research and analytical writing skillsProgramming experience and substantial programming experience in Stata, R, SAS or similar statistical programming languagesPrior experience with machine learning and natural language processing is a plus. Application Instructions: To be considered, please submit the following items along with your online application: Statement of interest (including a summary of relevant prior experience)CVTranscriptSample programming codeContact information for at least two references, preferably one able to speak to academic research skills The deadline for the first round is 12pm PST on Monday, February 2, 2026. The deadline for the second round is 12pm PST on Monday, March 2, 2026. Applications will be evaluated on a rolling basis and preference will be given to first-round applicants The expected pay range for this position is $31.40 to $38.89 per hour.Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs. At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process. Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law. The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability that requires accommodation to perform the essential functions of their job. Stanford Law School seeks to hire the best talent and to promote a safe and secure environment for all members of the university community and its property. To that end, new staff hires must successfully pass a background check prior to starting work at Stanford University.Additional InformationSchedule: Full-timeJob Code: 4234Employee Status: Fixed-TermGrade: ERequisition ID: 107912Work Arrangement : Hybrid Eligible, On Site

Resume Suggestions

Highlight relevant experience and skills that match the job requirements to demonstrate your qualifications.

Quantify your achievements with specific metrics and results whenever possible to show impact.

Emphasize your proficiency in relevant technologies and tools mentioned in the job description.

Showcase your communication and collaboration skills through examples of successful projects and teamwork.

Explore More Opportunities